Tech Mining: Exploiting New Technologies for Competitive Advantage / Edition 1

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Overview

A business's competitiveness depends on the effective use of the vast amounts of information available. Tech Mining: Exploiting New Technologies for Competitive Advantage shows technology managers and other professionals not only how to sift through the chaff and get to the key kernels that lead to innovation - in short, information management - but how to make better use of information leads in order to make better decisions.
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Editorial Reviews

From the Publisher
"...useful to a variety of institutions, programs, and people." (E-STREAMS, August 2005)

"Two data mining practitioners explain how to use the available software tools…to quickly access the technological information needed to gain competitive advantage." (Research Technology Management, May-June 2005)

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Product Details

Meet the Author

ALAN L. PORTER's major concentration is technology intelligence, forecasting, and assessment. He has led the development of "technology opportunity analysis"—mining electronic bibliographic data sources to generate intelligence on emerging technologies. He holds a BS in chemical engineering from the California Institute of Technology, and a PhD in engineering psychology from UCLA. He is currently Director, Research & Development, for Search Technology, Inc., in Norcross, Georgia.

SCOTT W. CUNNINGHAM worked for the Technology Policy & Assessment Center at the Georgia Institute of Technology. He has worked in industry as a data mining and machine learning consultant, working chiefly in the e-commerce and retail industries. He holds a BEng in engineering science and mechanics from Georgia Tech and a DPhil in science, technology, and innovation policy from the University of Sussex, UK. He currently serves as an assistant professor on the Technology, Policy, and Management faculty of TU Delft.

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Table of Contents

1 Technological innovation and the need for tech mining 3
2 How tech mining works 17
3 What tech mining can do for you 33
4 Example results : fuel cells tech mining 41
5 What to watch for in tech mining 51
6 Finding the right sources 69
7 Forming the right query 95
8 Getting the data 113
9 Basic analyses 129
10 Advanced analyses 155
11 Trend analyses 187
12 Patent analyses 215
13 Generating and presenting innovation indicators 249
14 Managing the tech mining process 289
15 Measuring tech mining results 307
16 Example process : tech mining on fuel cells 321
App. A Selected publication and patent databases 355
App. B Text mining software 361
App. C What you can do without tech mining software 363
App. D Statistics and distributions for analyzing text entities 365
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